Arcplus Group (600629) Fair Value & Analysis
Industrials · CN · Market cap 15.7B CNY
Analysis
Arcplus Group (600629) currently trades at ¥16.31, while our model-based Fair Value estimate is ¥5.01 — implying the stock looks roughly 69.3% overvalued today. We read business quality at 92/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Arcplus Group PLC, together with its subsidiaries, provides architectural design and consulting services for urban and rural construction in China and internationally. The company offers professional technical services, such as engineering design, engineering consulting, engineering survey, engineering testing, and other services related to the construction industry. It is also involved in engineering construction projects, which include planning, construction, water conservancy, municipal administration, landscape architecture, interior decoration, architectural acoustics, and other design consulting services; and engineering, procurement, and construction general contracting services. In addition, the company engages in industrial investment; geotechnical engineering survey and design; building and municipal road consultation; architectural review; project supervision; investment management; building information technology development and services; landscaping projects; business s…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.